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Regression line on weight and result

With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.

The formula for the regression line on the riders in the result is as follows:

result = -0.2 * weight + 42

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
# Rider Weight (KG)
1 ZABALLA Constantino66
2 MORTENSEN Martin70
3 HOLLANDERS Dries70
4 VINTHER Troels Rønning68
5 EEFTING-BLOEM Roy75
8 OELERICH Jan70
9 GARDEYN Gorik75
11 BAUMANN Eric72
12 BERTILSSON Christian80
13 KRAGH ANDERSEN Asbjørn72
14 LUDVIGSSON Fredrik71
23 ASSELMAN Jesper69
25 VALGREN Michael71
26 KLOSTERGAARD Kasper69
27 SCHUMACHER Stefan71
29 LUNKE Sindre69
31 KONING Peter77
32 RIESEBEEK Oscar78
41 DUIJN Huub73
42 POLITT Nils80
44 MOBERG JØRGENSEN Christian73
54 OTTEMA Rick77
59 RÄIM Mihkel69
64 GAEBEL Stefan68
67 ENGER Sondre Holst69
71 MADSEN Martin Toft67